Triple
T7242409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DirecTV |
E156387
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Eddy Hartenstein
Eddy Hartenstein is an American media executive best known for leading the development and growth of the satellite television service DirecTV.
|
E654816
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Eddy Hartenstein | Statement: [DirecTV, foundedBy, Eddy Hartenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddy Hartenstein Context triple: [DirecTV, foundedBy, Eddy Hartenstein]
-
A.
James Heerdegen
James Heerdegen is an American camera technician and dolly grip best known to the public for his former marriage to actress Christina Ricci.
-
B.
Don Hammerstedt
Don Hammerstedt is a musician best known for having been an early member of the American rock band No Doubt.
-
C.
Peter Mengede
Peter Mengede is an Australian guitarist best known as a founding member of the New York alternative metal band Helmet.
-
D.
Alan "Dutch" Schaefer
Alan "Dutch" Schaefer is the battle-hardened special forces major portrayed by Arnold Schwarzenegger who leads the elite commando team in the 1987 sci-fi action film "Predator."
-
E.
Anthony Rhulen
Anthony Rhulen was an American film producer known for financing and producing independent movies, including genre and thriller projects in the 2000s and 2010s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eddy Hartenstein Triple: [DirecTV, foundedBy, Eddy Hartenstein]
Generated description
Eddy Hartenstein is an American media executive best known for leading the development and growth of the satellite television service DirecTV.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eddy Hartenstein Target entity description: Eddy Hartenstein is an American media executive best known for leading the development and growth of the satellite television service DirecTV.
-
A.
James Heerdegen
James Heerdegen is an American camera technician and dolly grip best known to the public for his former marriage to actress Christina Ricci.
-
B.
Don Hammerstedt
Don Hammerstedt is a musician best known for having been an early member of the American rock band No Doubt.
-
C.
Peter Mengede
Peter Mengede is an Australian guitarist best known as a founding member of the New York alternative metal band Helmet.
-
D.
Alan "Dutch" Schaefer
Alan "Dutch" Schaefer is the battle-hardened special forces major portrayed by Arnold Schwarzenegger who leads the elite commando team in the 1987 sci-fi action film "Predator."
-
E.
Anthony Rhulen
Anthony Rhulen was an American film producer known for financing and producing independent movies, including genre and thriller projects in the 2000s and 2010s.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea56756c8190996c2390902f166a |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e51f35b88190a1d6b12903d93cee |
completed | March 28, 2026, 2:26 p.m. |
| NEDg | Description generation | batch_69c7e6671e2c8190aed42aa673540efa |
completed | March 28, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e6cd820881909ef8fd3bc28d2716 |
completed | March 28, 2026, 2:33 p.m. |
Created at: March 27, 2026, 2:55 p.m.